Chair objectives
This research program aims at fostering our theoretical and empirical understanding of the economics of information services using AI, with a special emphasis on the impact of AI on competition.
How does AI personalization affect price levels and market allocation?
Do ML pricing lead to tacit collusion on prices? If so, how can we control for that.
Do AI programs and
big data raise the risk of monopolization?
How also do data driven mergers affect competitivity?
Answering such questions is important for the conduct of competition policy (antitrust, ex-ante regulation of markets…) and for the eventual acceptance by the public of AI based services
Program Acceptable AI
Theme AI and society
Chair holder: Bruno Jullien, Chercheur TSE, CNRS, Directeur de recherches, CNRS
Co-chairs:
- Doh-Shin (Professor, UT1, TSE-R)
- Daniel Ershof (Junior Professor, UT1, TSE-R),
Chair holder : Bruno Jullien (CNRS, TSE-R)
Co-chairs :
- Doh-Shin (Professor, UT1, TSE-R)
- Daniel Ershof (Junior Professor, UT1, TSE-R),
Senior researchers :
- Alexandre de Cornière (Junior Professor, UT1, TSE-R)
The team participated to the academic and policy debate through numerous presentations, roundtables and keynotes.
D.S. Jeon is member of the Expert Group for the Observatory on the Online Platform Economy, the European Commission.
B. Jullien contributed to the “Report of the committee for the study of digital platforms: Market structure and antitrust subcommittee report." Stigler Center for the Study of
the Economy and the State.
l’Economy and the state.
1. Stephanie Assada, Robert Clark, Daniel Ershov, Lei Xud, “Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market“, TSE Working Paper, n. 21-1210,
2. Stephanie Assad, Emilio Calvano, Giacomo Calzolari, Robert Clark, Vincenzo Denicol., Daniel Ershov, Justin Johnson, Sergio Pastorello, Andrew Rhodes, Lei XU, and Matthijs Wildenbeest, “Autonomous algorithmic collusion: Economic research and policy implications”, Oxford Review of Economic Policy, 2021,
3. Alexandre de Cornière, and Greg Taylor, “Data competition: a General Framework with Applications to Mergers, Market Structure, and Privacy Policy”, TSE WP, n. 20-1076
4. Bruno Jullien, Yassine Lefouili, and Michael Riordan, “Privacy Protection, Security, and Consumer Retention”, TSE WP, n. 18-947,
5. Jay Pil Choi, and Doh-Shin Jeon, “Two-Sided Platforms and Biases in Technology Adoption”, TSE WP, n. 20- 1143, under revision for Rand Journal of Economics
6. Marc Bourreau, Bruno Jullien, and Yassine Lefouili, “Merger and Demand-Enhancing Innovation”, TSE WP, n. 18-907
7. Bruno Jullien, and In-Uck Park, “Communication, Feedbacks and Repeated Moral Hazard with Short-lived Buyers?” TSE Working Paper, n. 19-1027
8. Bruno Jullien, Markus Reisinger, and Patrick Rey, “Personalized Pricing and Distribution Strategies”, TSE WP, n. 19-995, under revision for Management Sciences
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Bruno Jullien: digital economy and AI, a winning bet?
As in most industries, artificial intelligence has entered the world of the digital economy recently. How does it affect the relationship between businesses and consumers? From his laboratory at Toulouse School of Economics (TSE), the researcher Bruno Jullien examines the evolution of the regulation of digital markets to imagine new standards.
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